[ANN] cudaMiner & ccMiner CUDA based mining applications [Windows/Linux/MacOSX]

[scryptr]

Hello!
I'm beginner in mining litecoin I have Nvidia GeForce GT520
what are the steps to follow and start mining.

A GTX 520 can use the two miners listed by Bombadil, or the 28 FEB 2014 version of Cudaminer by CBuchner.  You will get a low hashrate, but it will mine.  I have a GTX 520 on a shelf somewhere, it will function as a miner, but it won't bring in a lot of digital coin.

I use mine as a swap card when moving "bigger" cards around.       --scryptr

[1715447692]

1715447692

[SRBOOTH]

Hey there gents, recently switching myself over to Linux (Mint) . I run gtx 750ti and am hoping someone could point me to a link or post how to install latest drivers on Mint 17.1.
Struggling with it any help is appreciated, thanks.

[Epsylon3]

Hey there gents, recently switching myself over to Linux (Mint) . I run gtx 750ti and am hoping someone could point me to a link or post how to install latest drivers on Mint 17.1.
Struggling with it any help is appreciated, thanks.

--help

and look at the Package features

[california_jim]

Hey there gents, recently switching myself over to Linux (Mint) . I run gtx 750ti and am hoping someone could point me to a link or post how to install latest drivers on Mint 17.1.
Struggling with it any help is appreciated, thanks.

I struggled too. Fixed by putting 'nomodeset' in Grub (Google it) which gave me a prompt with Ctrl+Alt+F1 (before nomodeset I got only a black screen).

So download driver
edit Grub - sudo nano etc/default/grub
reboot - don't login
Ctrl+Alt+F1
sudo service mdm stop
cd Downloads (is driver install file there?)
sh NVIDIA.........
follow instructions(?)
Out for rest of afternoon, I'll help you more if needed after 17:00 Zulu

CJ

E&OE

[SRBOOTH]

Hey there gents, recently switching myself over to Linux (Mint) . I run gtx 750ti and am hoping someone could point me to a link or post how to install latest drivers on Mint 17.1.
Struggling with it any help is appreciated, thanks.

I struggled too. Fixed by putting 'nomodeset' in Grub (Google it) which gave me a prompt with Ctrl+Alt+F1 (before nomodeset I got only a black screen).

So download driver
edit Grub - sudo nano etc/default/grub
reboot - don't login
Ctrl+Alt+F1
sudo service mdm stop
cd Downloads (is driver install file there?)
sh NVIDIA.........
follow instructions(?)
Out for rest of afternoon, I'll help you more if needed after 17:00 Zulu

CJ

E&OE

Thank you for the help, I have yet to try it out but makes sense, I would also only get black screen at Ctrl+Alt+F1, so this seems to be my next step, will post if successful

[axzerrouni]

Hi Guy, I have 750ti 3 cards.

Now,I mining on Digibyte Coin. I can make 0.0012 btc per day.

It's very low price for me. 

What coin is best than Digibyte?

[Bombadil]

Hi Guy, I have 750ti 3 cards.

Now,I mining on Digibyte Coin. I can make 0.0012 btc per day.

It's very low price for me. 

What coin is best than Digibyte?

I already got 0.002BTC for 2x 750tis on my Nicehash balance (X11), and the day is not finished yet ^^"

[tbearhere]

Hi  do we need a -v1......vote on the bat file command line for Hefty1  algo?  thx

[djm34]

Hi  do we need a -v1......vote on the bat file command line for Hefty1  algo?  thx

no, it is only for heavycoin algo

[tbearhere]

Hi  do we need a -v1......vote on the bat file command line for Hefty1  algo?  thx

no, it is only for heavycoin algo

ok thx djm 

[djm34]

cuda 7 is out (for registered users)

We’re pleased to announce that the CUDA® 7.0 Release Candidate (RC) is now available to all CUDA Registered Developers. As a member of the program, you can now download this preview of the CUDA Toolkit before it becomes available to the public.

Your existing applications can run faster simply by recompiling with this latest version of the CUDA Toolkit. Give it a try and share your experience via the Feedback link on the downloads page. And, as always, if you encounter any problems please file a bug!

Check out the Release Notes for a complete list of new features and platforms supported in this release. Highlights include support for:
•    New C++11 features such as auto, lamba and many more
•    New cuSOLVER library with:
◦    Key LAPACK dense solvers (Cholesky, LU, SVD, QA) that are 3–6x faster than MKL
◦    Sparse direct solvers that are 2–14x faster than CPU–only equivalents
•    Runtime Compilation, enabling highly optimized kernels to be generated at runtime
•    Calling Thrust inside compute kernels
•    Performance improvements in key Thrust and cuFFT routines
•    GPU core dump analysis in Nsight Eclipse Edition
•    New initcheck and synccheck features in CUDA-MEMCHECK

[Bombadil]

cuda 7 is out (for registered users)

We’re pleased to announce that the CUDA® 7.0 Release Candidate (RC) is now available to all CUDA Registered Developers. As a member of the program, you can now download this preview of the CUDA Toolkit before it becomes available to the public.

Your existing applications can run faster simply by recompiling with this latest version of the CUDA Toolkit. Give it a try and share your experience via the Feedback link on the downloads page. And, as always, if you encounter any problems please file a bug!

Check out the Release Notes for a complete list of new features and platforms supported in this release. Highlights include support for:
•    New C++11 features such as auto, lamba and many more
•    New cuSOLVER library with:
◦    Key LAPACK dense solvers (Cholesky, LU, SVD, QA) that are 3–6x faster than MKL
◦    Sparse direct solvers that are 2–14x faster than CPU–only equivalents
•    Runtime Compilation, enabling highly optimized kernels to be generated at runtime
•    Calling Thrust inside compute kernels
•    Performance improvements in key Thrust and cuFFT routines
•    GPU core dump analysis in Nsight Eclipse Edition
•    New initcheck and synccheck features in CUDA-MEMCHECK

So, will that double the usual speeds? (fingers & toes crossed)

[djm34]

cuda 7 is out (for registered users)

We’re pleased to announce that the CUDA® 7.0 Release Candidate (RC) is now available to all CUDA Registered Developers. As a member of the program, you can now download this preview of the CUDA Toolkit before it becomes available to the public.

Your existing applications can run faster simply by recompiling with this latest version of the CUDA Toolkit. Give it a try and share your experience via the Feedback link on the downloads page. And, as always, if you encounter any problems please file a bug!

Check out the Release Notes for a complete list of new features and platforms supported in this release. Highlights include support for:
•    New C++11 features such as auto, lamba and many more
•    New cuSOLVER library with:
◦    Key LAPACK dense solvers (Cholesky, LU, SVD, QA) that are 3–6x faster than MKL
◦    Sparse direct solvers that are 2–14x faster than CPU–only equivalents
•    Runtime Compilation, enabling highly optimized kernels to be generated at runtime
•    Calling Thrust inside compute kernels
•    Performance improvements in key Thrust and cuFFT routines
•    GPU core dump analysis in Nsight Eclipse Edition
•    New initcheck and synccheck features in CUDA-MEMCHECK

So, will that double the usual speeds? (fingers & toes crossed)

probably not 

[tbearhere]

cuda 7 is out (for registered users)

We’re pleased to announce that the CUDA® 7.0 Release Candidate (RC) is now available to all CUDA Registered Developers. As a member of the program, you can now download this preview of the CUDA Toolkit before it becomes available to the public.

Your existing applications can run faster simply by recompiling with this latest version of the CUDA Toolkit. Give it a try and share your experience via the Feedback link on the downloads page. And, as always, if you encounter any problems please file a bug!

Check out the Release Notes for a complete list of new features and platforms supported in this release. Highlights include support for:
•    New C++11 features such as auto, lamba and many more
•    New cuSOLVER library with:
◦    Key LAPACK dense solvers (Cholesky, LU, SVD, QA) that are 3–6x faster than MKL
◦    Sparse direct solvers that are 2–14x faster than CPU–only equivalents
•    Runtime Compilation, enabling highly optimized kernels to be generated at runtime
•    Calling Thrust inside compute kernels
•    Performance improvements in key Thrust and cuFFT routines
•    GPU core dump analysis in Nsight Eclipse Edition
•    New initcheck and synccheck features in CUDA-MEMCHECK

So, will that double the usual speeds? (fingers & toes crossed)

I hope. 

[Bombadil]

cuda 7 is out (for registered users)

We’re pleased to announce that the CUDA® 7.0 Release Candidate (RC) is now available to all CUDA Registered Developers. As a member of the program, you can now download this preview of the CUDA Toolkit before it becomes available to the public.

Your existing applications can run faster simply by recompiling with this latest version of the CUDA Toolkit. Give it a try and share your experience via the Feedback link on the downloads page. And, as always, if you encounter any problems please file a bug!

Check out the Release Notes for a complete list of new features and platforms supported in this release. Highlights include support for:
•    New C++11 features such as auto, lamba and many more
•    New cuSOLVER library with:
◦    Key LAPACK dense solvers (Cholesky, LU, SVD, QA) that are 3–6x faster than MKL
◦    Sparse direct solvers that are 2–14x faster than CPU–only equivalents
•    Runtime Compilation, enabling highly optimized kernels to be generated at runtime
•    Calling Thrust inside compute kernels
•    Performance improvements in key Thrust and cuFFT routines
•    GPU core dump analysis in Nsight Eclipse Edition
•    New initcheck and synccheck features in CUDA-MEMCHECK

So, will that double the usual speeds? (fingers & toes crossed)

probably not 

Hmm, I'm getting +10kh with just their latest included driver ^^

[djm34]

cuda 7 is out (for registered users)

We’re pleased to announce that the CUDA® 7.0 Release Candidate (RC) is now available to all CUDA Registered Developers. As a member of the program, you can now download this preview of the CUDA Toolkit before it becomes available to the public.

Your existing applications can run faster simply by recompiling with this latest version of the CUDA Toolkit. Give it a try and share your experience via the Feedback link on the downloads page. And, as always, if you encounter any problems please file a bug!

Check out the Release Notes for a complete list of new features and platforms supported in this release. Highlights include support for:
•    New C++11 features such as auto, lamba and many more
•    New cuSOLVER library with:
◦    Key LAPACK dense solvers (Cholesky, LU, SVD, QA) that are 3–6x faster than MKL
◦    Sparse direct solvers that are 2–14x faster than CPU–only equivalents
•    Runtime Compilation, enabling highly optimized kernels to be generated at runtime
•    Calling Thrust inside compute kernels
•    Performance improvements in key Thrust and cuFFT routines
•    GPU core dump analysis in Nsight Eclipse Edition
•    New initcheck and synccheck features in CUDA-MEMCHECK

So, will that double the usual speeds? (fingers & toes crossed)

probably not  

Hmm, I'm getting +10kh with just their latest included driver ^^

seriously ? (because none of the new feature are really used in ccminer...)

[Epsylon3]

yes, not as good as linux 6.5 but +5% (didnt tried linux 7 for the moment) v6.5 9xx support was experimental

[Bombadil]

Hmm, I'm getting +10kh with just their latest included driver ^^

seriously ? (because none of the new feature are really used in ccminer...)

Yep, measured with my monitor, was pretty clear. (would show pics, if it weren't for a bug, had to get the values in debugger ) Same for spread, but that doesn't have API, so I'm hunching here.
It's not incredible, but it does seem to help.

EDIT: Whooh, I'm using my 760 for multimonitor + some X11 mining, while it previously dropped a lot in hashrate, it's now pretty stable, no more 200kh drops ^^"

[tbearhere]

cuda 7 is out (for registered users)

We’re pleased to announce that the CUDA® 7.0 Release Candidate (RC) is now available to all CUDA Registered Developers. As a member of the program, you can now download this preview of the CUDA Toolkit before it becomes available to the public.

Your existing applications can run faster simply by recompiling with this latest version of the CUDA Toolkit. Give it a try and share your experience via the Feedback link on the downloads page. And, as always, if you encounter any problems please file a bug!

Check out the Release Notes for a complete list of new features and platforms supported in this release. Highlights include support for:
•    New C++11 features such as auto, lamba and many more
•    New cuSOLVER library with:
◦    Key LAPACK dense solvers (Cholesky, LU, SVD, QA) that are 3–6x faster than MKL
◦    Sparse direct solvers that are 2–14x faster than CPU–only equivalents
•    Runtime Compilation, enabling highly optimized kernels to be generated at runtime
•    Calling Thrust inside compute kernels
•    Performance improvements in key Thrust and cuFFT routines
•    GPU core dump analysis in Nsight Eclipse Edition
•    New initcheck and synccheck features in CUDA-MEMCHECK

So, will that double the usual speeds? (fingers & toes crossed)

probably not 

Hmm, I'm getting +10kh with just their latest included driver ^^

Me too.

[tbearhere]

On hefty1  algo  all i'm getting are booo's       ccminer.exe  -a hefty1   -o stratum+tcp://scsy.suprnova.cc:3034         -u  -p  
any help please  thx